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README.md
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@@ -58,24 +58,33 @@ ensures greater diversity than existing ones. Please refer to our [arXiv paper](
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6878e482bd4380c813fd99de/deWUNg0C2bxl7ZDQFfowu.png" alt="transform" width="40%">
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4.
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CGNS library to be read out. Since they are too large, they are available via university storage upon reasonable request to the authors.
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The table below summarizes the data.
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|Type | File
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|Geometric parameters | `Configs.dat` | shape parameters |
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|Information | `index.npy` | group information, operating conditions, and aerodynamic coefficients |
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|Surface mesh |
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The simulations are conducted on the 160-core high-performance computing cluster at AeroLab, Tsinghua University, for over four months.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6878e482bd4380c813fd99de/deWUNg0C2bxl7ZDQFfowu.png" alt="transform" width="40%">
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4. Volumetric flow quantities on the near-field simulation mesh
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Volumetric flow data are also provided for potential future use. We provide the cell-centric coordinates and five core flow quantities at each simulation cell, and the flow
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quantities are in the order of density, pressure, and the velocities in the \\(x, y, z \\) directions. Since the simulation requires a large far field to implement the
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freestream boundary condition, the values at the far mesh points are the same as the freestream condition. To avoid this reluctance, we truncate the flow field at 51 in the
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far-field direction for each block. The original structural mesh blocks are flattened to one dimension and concatenated to each other, which leads to a size of
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\\(8 \times 2,204,800 \\) for each volumetric flow field.
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5. Raw solver input & output
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The raw input surface mesh (`wing.xyz`), output of surface flow (`surf.cgns`), and 3D volume fields (`vol.cgns`) are also available in their original formats (CGNS files with the ADF format). They need the
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CGNS library to be read out. Since they are too large, they are available via university storage upon reasonable request to the authors.
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The table below summarizes the data.
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|Type | File | Description | Shape | Size |
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|Geometric parameters | `Configs.dat` | shape parameters | N x 57 | 5.0 MB
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|Information | `index.npy` | group information, operating conditions, and aerodynamic coefficients | N x 9 | 2.8 MB
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|Surface mesh | `origingeom.npy` | reference surface mesh (grid points) | N x 3 x 129 x 257 | 3.3 GB
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| | `geom0.npy` | reference surface mesh (cell center) | N x 3 x 128 x 256 | 3.3 GB
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|Surface flow | `data.npy` | \\( C_p, \bm {C_f} \\) at reference mesh (cell center) | N x 3 x 128 x 256 | 22.7 GB
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|Volume flow | `data_vol.*.npy.zst` | \\(x, y, z, \rho, p, v_x, v_y, v_z\\) at near-field volumetric simulation mesh (cell center) | N x 8 x 2,204,800 | 2.3 TB (46 files)
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|Raw data | `*\wing.xyz` | surface simulation mesh | | 7.8 GB
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| | `*\surf.cgns` | raw surface flow output | | 161.5 GB
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| | `*\vol.cgns` | raw flow field output | | 5.5 TB
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The simulations are conducted on the 160-core high-performance computing cluster at AeroLab, Tsinghua University, for over four months.
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